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• Compile FFmpeg with x264 for MacOS and Windows on Linux

  9 mars 2023, par RobinFrcd

  I successfully managed to compile a minimal standalone FFmpeg binary to create MP4 videos from JPG images encoded with x264. The binary is 100% functional and is 5.2MB.

  


  To do that, I used :

  


  ./configure \
--disable-everything \
--enable-decoder=mjpeg \
--enable-encoder=libx264 \
--enable-protocol=concat,file \
--enable-demuxer=image2 \
--enable-muxer=mp4 \
--enable-filter=scale \
--enable-gpl \
--enable-libx264 \
--extra-ldexeflags="-static" \
--pkg-config="pkg-config --static"


  


  I now would like to build the macOS and windows binaries directly from my Linux machine. I tried this repo and replaced the config args with mine, but the output exe is 30MB+. And I don't find anything about building for MacOS.

  


  Is there a solution to make this minimal build cross-platform compatible ?

  


• how to remove duplicated frame from 00:00:00,00 to 00:00:00,25 section not overall with mpdecimate filter ?

  19 octobre 2018, par cool jobs

  how to remove duplicated frame from 00:00:00,00 to 00:00:00,25 (00frame 25frames)section not overall with mpdecimate filter ??
  normally H264 video have some duplicated frames on video start section ..

      i have tried like this , 
  
  
  
  1)  ./ffmpeg -i cated_2-3.UMMJI.MTS -map 0:0 -c:v prores_ks -profile:v 1 -qscale:v 8  -s 1920x1080  -r 29.97  -top 1  -c:a pcm_s16le    -map 0:1 -filter:a:0 "pan=mono|c0=c0" -map 0:1 -filter:a:1 "pan=mono|c0=c1"   -metadata:s encoder="Apple ProRes 422 LT"  -filter_complex "[0]split=2[a][b];[a]trim=end_frame=26,mpdecimate[a];[b]trim=start_frame=25,setpts=PTS-STARTPTS[b];[a][b]concat=n=2:v=1:a=0" -vsync vfr -vf blackdetect=d=0.1:pix_th=.1  cated_2-3.UMMJI_MTS_mpdecimate26_section.mov
  
  
  
  and  tried to check black_frame on out prores mov file 
  
  2)./ffmpeg  -i cated_2-3.UMMJI_MTS_mpdecimate26_section.mov  -vf blackdetect=d=0.1:pix_th=.1  test.mov
  
  
  
  then , will be shown like below 
  
  
  
  macmini-master:1.  two_file_test khan$ ./ffmpeg  -i cated_2-3.UMMJI_MTS_mpdecimate26_section.mov  -vf blackdetect=d=0.1:pix_th=.1  test.mov
  
  ffmpeg version N-92108-ge08a876e67-tessus  https://evermeet.cx/ffmpeg/  Copyright (c) 2000-2018 the FFmpeg developers
  
    built with Apple LLVM version 10.0.0 (clang-1000.11.45.2)
  
    configuration: --cc=/usr/bin/clang --prefix=/opt/ffmpeg --extra-version=tessus --enable-avisynth --enable-fontconfig --enable-gpl --enable-libaom --enable-libass --enable-libbluray --enable-libfreetype --enable-libgsm --enable-libmodplug --enable-libmp3lame --enable-libmysofa --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libx264 --enable-libx265 --enable-libxavs --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-version3 --pkg-config-flags=--static --disable-ffplay
  
    libavutil      56. 19.101 / 56. 19.101
  
    libavcodec     58. 32.100 / 58. 32.100
  
    libavformat    58. 18.104 / 58. 18.104
  
    libavdevice    58.  4.105 / 58.  4.105
  
    libavfilter     7. 33.100 /  7. 33.100
  
    libswscale      5.  2.100 /  5.  2.100
  
    libswresample   3.  2.100 /  3.  2.100
  
    libpostproc    55.  2.100 / 55.  2.100
  
  Guessed Channel Layout for Input Stream #0.1 : mono
  
  Guessed Channel Layout for Input Stream #0.2 : mono
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'cated_2-3.UMMJI_MTS_mpdecimate26_section.mov':
  
    Metadata:
  
      major_brand     : qt
  
      minor_version   : 512
  
      compatible_brands: qt
  
      encoder         : Lavf58.18.104
  
    Duration: 00:25:12.58, start: 0.000000, bitrate: 86198 kb/s
  
      Stream #0:0(eng): Video: prores (apcs / 0x73637061), yuv422p10le(tv, top first), 1920x1080, 84662 kb/s, SAR 1:1 DAR 16:9, 29.97 fps, 29.97 tbr, 11988 tbn, 11988 tbc (default)
  
      Metadata:
  
        handler_name    : VideoHandler
  
        encoder         : Apple ProRes 422 LT
  
      Stream #0:1(eng): Audio: pcm_s16le (sowt / 0x74776F73), 48000 Hz, mono, s16, 768 kb/s (default)
  
      Metadata:
  
        handler_name    : SoundHandler
  
      Stream #0:2(eng): Audio: pcm_s16le (sowt / 0x74776F73), 48000 Hz, mono, s16, 768 kb/s
  
      Metadata:
  
        handler_name    : SoundHandler
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (prores (native) -> h264 (libx264))
  
    Stream #0:1 -> #0:1 (pcm_s16le (native) -> aac (native))
  
  Press [q] to stop, [?] for help
  
  [libx264 @ 0x7f8eb2804200] using SAR=1/1
  
  [libx264 @ 0x7f8eb2804200] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
  
  [libx264 @ 0x7f8eb2804200] profile High 4:2:2, level 4.0, 4:2:2, 8-bit
  
  [libx264 @ 0x7f8eb2804200] 264 - core 157 r2935 545de2f - H.264/MPEG-4 AVC codec - Copyleft 2003-2018 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
  Output #0, mov, to 'test.mov':
  
    Metadata:
  
      major_brand     : qt
  
      minor_version   : 512
  
      compatible_brands: qt
  
      encoder         : Lavf58.18.104
  
      Stream #0:0(eng): Video: h264 (libx264) (avc1 / 0x31637661), yuv422p, 1920x1080 [SAR 1:1 DAR 16:9], q=-1--1, 29.97 fps, 11988 tbn, 29.97 tbc (default)
  
      Metadata:
  
        handler_name    : VideoHandler
  
        encoder         : Lavc58.32.100 libx264
  
      Side data:
  
        cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
  
      Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, mono, fltp, 69 kb/s (default)
  
      Metadata:
  
        handler_name    : SoundHandler
  
        encoder         : Lavc58.32.100 aac
  
  frame= 8224 fps= 21 q=29.0 size=   86528kB time=00:04:34.49 bitrate=2582.3kbits/s dup=19 drop=0 speed=0.689x

  as you can see duplicated frame just changed to black frame , not removed
  this MTS file have 19 duplicated frames !
  also i have checked in FCPX and count how many dupicated frame on out prores mov file ...

• lavfi : add filter dnn_detect for object detection

  7 février 2021, par Guo, Yejun

  lavfi : add filter dnn_detect for object detection
  Below are the example steps to do object detection :
  1. download and install l_openvino_toolkit_p_2021.1.110.tgz from
  
  https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/download.html
  
    or, we can get source code (tag 2021.1), build and install.
  
  2. export LD_LIBRARY_PATH with openvino settings, for example :
  
  .../deployment_tools/inference_engine/lib/intel64/ :.../deployment_tools/inference_engine/external/tbb/lib/
  
  3. rebuild ffmpeg from source code with configure option :
  
  — enable-libopenvino
  
  — extra-cflags='-I.../deployment_tools/inference_engine/include/'
  
  — extra-ldflags='-L.../deployment_tools/inference_engine/lib/intel64'
  
  4. download model files and test image
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.bin
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.xml
  
  wget
  
  https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/face-detection-adas-0001.label
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/images/cici.jpg
  
  5. run ffmpeg with :
  
  ./ffmpeg -i cici.jpg -vf dnn_detect=dnn_backend=openvino:model=face-detection-adas-0001.xml:input=data:output=detection_out:confidence=0.6:labels=face-detection-adas-0001.label,showinfo -f null -
  We'll see the detect result as below :
  
  [Parsed_showinfo_1 @ 0x560c21ecbe40]   side data - detection bounding boxes :
  
  [Parsed_showinfo_1 @ 0x560c21ecbe40] source : face-detection-adas-0001.xml
  
  [Parsed_showinfo_1 @ 0x560c21ecbe40] index : 0,  region : (1005, 813) -> (1086, 905), label : face, confidence : 10000/10000.
  
  [Parsed_showinfo_1 @ 0x560c21ecbe40] index : 1,  region : (888, 839) -> (967, 926), label : face, confidence : 6917/10000.
  There are two faces detected with confidence 100% and 69.17%.
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  

  • [DH] configure
  • [DH] doc/filters.texi
  • [DH] libavfilter/Makefile
  • [DH] libavfilter/allfilters.c
  • [DH] libavfilter/vf_dnn_detect.c